AIS-Based Intelligent Vessel Trajectory Prediction Using Bi-LSTM

Author:

Yang Cheng-Hong1ORCID,Wu Chih-Hsien1ORCID,Shao Jen-Chung1,Wang Yi-Chuan2,Hsieh Chih-Min3ORCID

Affiliation:

1. Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

2. Department of Business Administration, CTBC Business School, Tainan, Taiwan

3. Department of Maritime Information and Technology, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan

Funder

CECI Engineering Consultants, Inc

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Reference71 articles.

1. An overview of gradient descent optimization algorithms;ruder;arXiv 1609 04747,2016

2. Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks

3. Machine learning for vessel trajectories using compression, alignments and domain knowledge

4. A novel approach for ship trajectory online prediction using BP neural network algorithm;xu;Int J Adv Inf Sci Serv Sci,2012

5. State-of-the-art in artificial neural network applications: A survey

Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting;Ocean Engineering;2024-11

2. Ship Trajectory Prediction Model Based on Improved Bi-LSTM;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2024-09

3. Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review;Information;2024-08-21

4. VEPO-S2S: A VEssel Portrait Oriented Trajectory Prediction Model Based on S2S Framework;Applied Sciences;2024-07-20

5. Mobility Prediction Using Markov Models: A Survey;2024 7th International Conference on Informatics and Computational Sciences (ICICoS);2024-07-17

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3